vs

Amazon Redshift vs IBM Db2 Warehouse

Amazon Redshift: AWS's MPP columnar data warehouse, available as provisioned RA3 clusters or Serverless. IBM Db2 Warehouse: IBM's MPP analytics edition of Db2 with BLU columnar acceleration, as software or SaaS.

key differences

  • Amazon Redshift is built for larger datasets (Multi-PB) than IBM Db2 Warehouse (≤ 1 PB).
  • Only Amazon Redshift has online schema changes, streaming ingest.
  • Only IBM Db2 Warehouse has secondary indexes, full-text search, triggers, in-memory, time travel.
  • Amazon Redshift has a serverless option; IBM Db2 Warehouse does not.

choose amazon-redshift for

  • +Enterprise data warehouse on AWS
  • +BI dashboards over curated marts
  • +Lakehouse queries over S3 with Spectrum
  • +Near-real-time analytics on Aurora data via zero-ETL

best at · Warehouse, OLAP, Lakehouse

choose ibm-db2-warehouse for

  • +IBM-centric enterprise data warehouse
  • +Netezza or Db2 consolidation
  • +Hybrid warehouse with watsonx.data lakehouse

best at · Warehouse, OLAP, Lakehouse

overview
Primary model
Columnar / OLAP
Columnar / OLAP
Also supports
Relational, Document, Spatial
Relational, Document, Spatial
Type
Managed service
Database engine
Status
Active
Active
Developer
Amazon Web Services
IBM
First release
2012
2014
Latest version
–
–
License
ProprietaryProprietary
ProprietaryProprietary
Free tier
—
—
popularity
WhichDB Score
55.8
0.0
Rank
#21
#753
GitHub stars
–
–
Stack Overflow questions
8.8K
–
scale & guarantees
Comfortable data size
Massive (Multi-PB)
Large (≤ 1 PB)
Horizontal scaling
Native
Native
Multi-region
Read replicas
Read replicas
ACID
Full
Full
Consistency
Strong
Strong
Schema
Strict
Strict
Architecture
Distributed, Shared storage, Serverless
Distributed, Shared storage, Client server
deployment
Self-hosted
—
✓
Vendor-managed cloud
✓
✓
Serverless
✓
—
Embedded
—
—
Edge
—
—
Clouds
AWS
AWS, IBM Cloud
capabilities
Transactions
✓
✓
Joins
✓
✓
Secondary indexes
—
✓
Full-text search
—
✓
Vector search
—
—
Geospatial
✓
✓
JSON
✓
✓
Change data capture
—
—
Triggers
—
✓
Stored procedures
✓
✓
Materialized views
✓
✓
TTL / expiry
—
—
Pub/Sub
—
—
Columnar storage
✓
✓
In-memory
—
✓
Durable persistence
✓
✓
Compression
✓
✓
Encryption at rest
✓
✓
Role-based access
✓
✓
Time travel
—
✓
Branching
—
—
Online schema changes
✓
—
Streaming ingest
✓
—
Offline sync
—
—
Runs in WebAssembly
—
—
interfaces
Query languages
SQL (PostgreSQL dialect), PL/pgSQL
SQL, SQL PL, PL/SQL (compatibility)
Client languages
Python, Java, JavaScript, Go, .NET, C
Java, Python, C, .NET, JavaScript, Go
Best for
Warehouse, OLAP, Lakehouse
Warehouse, OLAP, Lakehouse

Amazon Redshift vs IBM Db2 Warehouse: FAQ

What is the difference between Amazon Redshift and IBM Db2 Warehouse?

Amazon Redshift: AWS's MPP columnar data warehouse, available as provisioned RA3 clusters or Serverless. IBM Db2 Warehouse: IBM's MPP analytics edition of Db2 with BLU columnar acceleration, as software or SaaS. Amazon Redshift is built for larger datasets (Multi-PB) than IBM Db2 Warehouse (≤ 1 PB). Only Amazon Redshift has online schema changes, streaming ingest. Only IBM Db2 Warehouse has secondary indexes, full-text search, triggers, in-memory, time travel.

When should I choose Amazon Redshift over IBM Db2 Warehouse?

Choose Amazon Redshift for enterprise data warehouse on AWS, BI dashboards over curated marts and lakehouse queries over S3 with Spectrum. Choose IBM Db2 Warehouse for IBM-centric enterprise data warehouse, netezza or Db2 consolidation and hybrid warehouse with watsonx.data lakehouse.

Is Amazon Redshift or IBM Db2 Warehouse more popular?

Amazon Redshift ranks #21 on the WhichDB Score (55.8/100) and IBM Db2 Warehouse ranks #753 (0.0/100). Popularity is not fit: check the requirements that matter for your project.

Are Amazon Redshift and IBM Db2 Warehouse open source?

No. Amazon Redshift is proprietary, closed-source software. No. IBM Db2 Warehouse is proprietary, closed-source software.